These aren't hypothetical demos. They're patterns we've seen block AI adoption in government, construction and enterprise — and exactly the problems ARK360 MCP Gateway is built to resolve.
The situation
A federal agency wants to connect a Microsoft Copilot agent to internal data systems and some public-sector APIs. The use case is clear — but security and the CISO are blocking it. There's no governance, no audit trail, and no way to prove data isn't leaving Australian systems.
The problem
Security blocked direct agent access. No governance layer, no audit, no way to demonstrate data sovereignty compliance.
What ARK360 does
Outcome
The CISO signs off on the pilot — because they have documented evidence of control, auditability and data sovereignty. Not assurances. Evidence. The team ships the agent in weeks, not the next budget cycle.
The situation
An enterprise wants AI agents to query and update records in their ERP, CRM and project management systems. Their IT team has no way to scope what agents can read or write — a mistake by an agent could corrupt operational data.
The problem
No mechanism to scope agent access to specific API operations. Read-write risk without per-agent controls. IT team has no visibility into what agents are doing.
What ARK360 does
Outcome
IT approves agent access — because they can see and control exactly what's happening. Every call is scoped, every write requires approval, every action is logged. Agents become productive across internal systems without creating uncontrolled blast radius.
The situation
A construction company wants to use AI to surface safety incidents, flag overdue compliance checks and assist site supervisors with HSE queries. But any AI-driven action touching safety data needs to be fully explainable — to regulators, insurers and senior leadership.
The problem
Safety and HSE data has the highest stakes for auditability. Any AI interaction touching this data must be logged, explainable and defensible in a regulatory or insurance context.
What ARK360 does
Outcome
When the regulator asks 'what did the AI do?', leadership has the answer — timestamped, policy-tagged and audit-ready. The HSE team gets meaningful AI assistance without compromising the integrity of their safety record.
These are starting points — not rigid templates. Most engagements begin with one API and one concrete blocker. Tell us yours.